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strategy-workflow

Comprehensive strategy development workflow from ideation to validation. Use when creating trading strategies, running backtests, parameter optimization, or walk-forward validation.

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Installs

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Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 strategy-workflow 技能。 若已安装,则直接安装 strategy-workflow 技能。

Overview

Skill Key
ahuserious/strategy-workflow
Author
ahuserious
Source Repo
openclaw/skills
Version
2.0.0
Source Path
skills/ahuserious/strategy-workflow
Latest Commit SHA
3592e6de1aa8313e581e4cbd05d780354bebb293

Extracted Content

SKILL.md excerpt

# Strategy Workflow

Comprehensive strategy development workflow for quantitative trading, from hypothesis to validated production deployment.

## Overview

This skill provides a complete framework for developing, testing, and validating trading strategies. It supports:

- Hypothesis-driven strategy development
- Multi-GPU backtesting on Vast.ai
- Bayesian hyperparameter optimization with Optuna
- Walk-forward validation and out-of-sample testing
- Automated tearsheet generation

## Entry Points

### Control Plane (Swarm Orchestration)

Always-on watchdog loops that manage hardware utilization and self-healing:

```bash
bash scripts/start_swarm_watchdogs.sh
```

For local environments, set explicit paths:

```bash
VENV_PATH=/path/to/.venv/bin/activate \
RESULTS_ROOT=/path/to/backtests \
STATE_ROOT=/path/to/backtests/state \
LOGS_ROOT=/path/to/backtests/logs \
bash scripts/start_swarm_watchdogs.sh
```

### Work Plane (Parallel Execution)

Unified wrapper that starts control plane and launches parallel work:

```bash
scripts/backtest-optimize --parallel
```

Multi-GPU, multi-symbol execution:

```bash
cd WORKFLOW && ./launch_parallel.sh
```

### Single-Symbol Pipeline

For focused optimization on a single asset:

```bash
scripts/backtest-optimize --single --symbol SYMBOL --engine native --prescreen 50000 --paths 1000 --by-regime
```

## Strategy Development

### 1. Hypothesis Formulation

Define your strategy hypothesis in measurable terms:

- What market inefficiency are you exploiting?
- What is the expected holding period?
- What are the entry/exit conditions?
- What is the target risk-adjusted return?

### 2. Feature Selection

Identify relevant features for signal generation:

- Price-based (OHLCV, returns, volatility)
- Technical indicators (EMA, RSI, Bollinger Bands)
- Multi-timeframe features (MTF resampling)
- Volume analysis (PVSRA, VWAP)
- Market microstructure (order flow, spread)

### 3. Signal Generation

Convert features into actionable signals:

- Dire...

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